A Lightweight and Secure Access Authentication Scheme for UAV Formation

Unmanned Aerial Vehicle (UAV) swarm systems are playing an irreplaceable role in various fields. However, the security challenge of UAV network has become increasingly prominent. In this paper, a lightweight secure access scheme based on physical unclonable function (PUF) for UAV swarm systems is proposed. Firstly, the UAV formation network is modelled and the security requirement is analyzed. Then, a lightweight authentication and key agreement protocol based on PUF is designed for UAV formation network to ensure access security. To verify the effectiveness of our scheme, the communication and computing costs of it are compared to other protocols.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129727
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A Lightweight and Secure Access Authentication Scheme for UAV Formation

Yanli Zhang, Ke Jin, Xiwang Dong, Yishi Liu et al.
UAV Applications and Optimization
article

A Lightweight and Secure Access Authentication Scheme for UAV Formation

Yanli Zhang, Ke Jin, Xiwang Dong, Yishi Liu, Chaojie Lu
article en

Abstract

Unmanned Aerial Vehicle (UAV) swarm systems are playing an irreplaceable role in various fields. However, the security challenge of UAV network has become increasingly prominent. In this paper, a lightweight secure access scheme based on physical unclonable function (PUF) for UAV swarm systems is proposed. Firstly, the UAV formation network is modelled and the security requirement is analyzed. Then, a lightweight authentication and key agreement protocol based on PUF is designed for UAV formation network to ensure access security. To verify the effectiveness of our scheme, the communication and computing costs of it are compared to other protocols.

Beijing Electronic Science and Technology Institute (CN), Beijing Institute of Big Data Research (CN), China Datang Corporation (China) (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 68%
UAV Applications and Optimization
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